| Upload Date | December 10 2025 04:57 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3274
608.9 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.2 IPS |
|
|
Image Classification (Q)
|
100% |
8815
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12807
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7204
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
7244
8.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
28040
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (HP)
|
100% |
3063
242.9 IPS |
|
|
Object Detection (Q)
|
88% |
9205
737.9 IPS |
|
|
Face Detection (SP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
8053
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
26108
310.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8797
67.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
22922
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19729
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19515
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
74900
96.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4213
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13860
513.3 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
3655
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3992
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5194
89.5 IPS |